Top AI Jobs in Singapore

Lead the design of DevOps strategy and develop cloud infrastructure. Responsible for operational management and building consensus across teams.

Lead and develop scalable data infrastructure, enhance self-service capabilities, ensure software quality, and mentor engineers while collaborating across teams.

The Senior AI Engineer designs and develops scalable AI/ML systems, operationalizes models, ensures reliability and observability, and mentors junior engineers.

This role involves overseeing Technology risk governance and third-party risk management in a banking environment, ensuring adequate risk resolution and compliance with regulations while improving risk culture across teams.

As a Credit Risk Specialist, you will design credit risk management solutions, analyze data to develop strategies, and oversee compliance with regulations.

The Senior ML Platform Engineer will design and maintain the MLOps platform, implement automation for model deployment, and ensure system security, collaborating closely with Data Scientists and ML Engineers.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

Lead the Data DevOps team by developing and maintaining data infrastructure, enhancing tooling for self-service capabilities, and ensuring software quality and functionality.

As a Senior AI Engineer, you will develop AI solutions to enhance customer support and internal efficiency, design APIs, and collaborate with teams in a fast-paced environment.

Lead the development of AI-driven solutions, designing robust APIs, and collaborating with cross-functional teams to enhance product offerings. Focus on building innovative systems that improve efficiency and customer support.

The Staff AI Engineer will lead the development of AI solutions, set technical vision, design robust APIs, and enhance user experience through innovative language technologies.

The Engineering Manager will lead the AI Platform team, develop strategies for AI innovation, mentor engineers, and ensure high-quality AI services.

The Major Account Manager will drive sales within Enterprise and Financial Services sectors, focusing on building relationships, consultative selling, and strategy execution across targeted Fortune 500 accounts.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

The Lead AI Engineer designs, develops, and maintains advanced AI systems, influences technical direction, mentors junior engineers, and ensures operational stability of AI solutions.

The program trains recent graduates in pre-sales, focusing on understanding customer tech needs, creating solutions, and supporting sales efforts. Responsibilities include client communication and collaboration with technical resources.

The Senior Researcher will develop advanced algorithms in 3D vision and generative understanding, explore frontiers in model technologies, and collaborate on project development and deployment.

The Director will architect AI and Privacy Enhancing Technology solutions, engage with regulators and partners, and guide initiatives to enhance AI and PET adoption within Mastercard's framework.

As a Director, you will lead AI programs focused on regulatory engagement and the production and adoption of Responsible AI toolkits, working with key stakeholders and managing cross-functional roadmaps.

The role involves leading technical product management and solution architecture for Responsible AI tools, ensuring implementations meet governance, usability, and scalability while collaborating with various stakeholders.

Lead the design, development, and integration of AI-powered applications while ensuring code quality and collaborating across teams. Ideal for engineers focused on automation and secure application engineering.

As an intern, you will apply data analytics and machine learning to enhance process learning in NAND technology, communicating insights effectively and delivering a comprehensive project.

The internship involves hands-on learning in data analytics and machine learning. Interns will build data-driven models, perform statistical analyses, and communicate insights to improve process integration outcomes in semiconductor technology.

The role involves being a technical advisor, focusing on AI solutions within GitLab's DevSecOps platform, guiding strategy and value for customers, and leading technical evaluations and workshops.

As a Principal Machine Learning Engineer, you will lead a team, develop scalable machine learning solutions, and enhance ad serving efficiency for Grab's ads business.